Alternatives and similar repositories for ggml-tutorial

Users that are interested in ggml-tutorial are comparing it to the libraries listed below

• daquexian / faster-rwkv
  ☆123Updated last year
• weishengying / tiny-flash-attention
  使用 cutlass 实现 flash-attention 精简版，具有教学意义
  ☆41Updated 9 months ago
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆130Updated last year
• Rayrtfr / FasterTransformer
  Transformer related optimization, including BERT, GPT
  ☆17Updated last year
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆109Updated 8 months ago
• wangzhaode / onnx-llm
  llm deploy project based onnx.
  ☆37Updated 7 months ago
• InfiniTensor / RefactorGraph
  分层解耦的深度学习推理引擎
  ☆73Updated 3 months ago
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆57Updated 6 months ago
• JieRen98 / SGEMM-SASS-Annotation
  ☆21Updated 4 years ago
• weishengying / cute_gemm
  ☆14Updated 9 months ago
• OpenPPL / ppl.nn.llm
  ☆139Updated last year
• Bruce-Lee-LY / flash_attention_inference
  Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.
  ☆37Updated 3 months ago
• lovemefan / ggml-learning-notes
  ggml学习笔记，ggml是一个机器学习的推理框架
  ☆15Updated last year
• OpenPPL / ppl.llm.serving
  ☆127Updated 5 months ago
• void-main / FasterTransformer
  Transformer related optimization, including BERT, GPT
  ☆59Updated last year
• Ascend / AscendSpeed
  ☆79Updated last year
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆68Updated 9 months ago
• pigirons / conv3x3_m1
  This is a demo how to write a high performance convolution run on apple silicon
  ☆54Updated 3 years ago
• tpoisonooo / chgemm
  symmetric int8 gemm
  ☆66Updated 4 years ago
• feifeibear / LLMRoofline
  Compare different hardware platforms via the Roofline Model for LLM inference tasks.
  ☆100Updated last year
• caijixueIT / CUDA_Learning_for_Freshman
  ☆11Updated 3 months ago
• DeepLink-org / ditorch
  ☆18Updated 4 months ago
• Bruce-Lee-LY / decoding_attention
  Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.
  ☆36Updated 2 months ago
• OpenPPL / ppl.llm.kernel.cuda
  ☆148Updated 4 months ago
• InternLM / turbomind
  ☆85Updated 2 months ago
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆79Updated 3 weeks ago
• MARD1NO / CUDA-PPT
  ☆93Updated 2 months ago
• OpenPPL / ppl.kernel.cuda
  ☆36Updated 7 months ago
• AniZpZ / AutoSmoothQuant
  An easy-to-use package for implementing SmoothQuant for LLMs
  ☆99Updated last month
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆92Updated last week